Data Scientist, Insights

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

Existing since 2017, data science’s mandate is to supercharge the organization and drive material value from data. We have many hats but we focus our work on building decision taking and decision support algorithms and tools. We operate with a fast but uncompromising mindset and bring our expert outsiders knowledge to challenge the status quo and drive innovation. We lead change in mindsets & processes as entrepreneurial collaborators with our many stakeholders as our roles and responsibilities are far reaching within the organization. We focus our work around five main streams:

1. Buying intelligence
2. Recommendation systems & customer insights
3. Performance marketing
4. Pricing strategies
5. Network planning & intelligence

We develop custom solutions adapted to specific business knowledge and strive to be ahead but in sight of everyone. We are technical, we are business owners & we are solution finders.

SSENSE is looking for Data Scientists with a high degree of autonomy and strong challenge solving mindset to join the customer insight team. The Data Scientist will perform exploratory analysis to understand who our customers are, how they react to our offers and develop customers centric solutions through building strong relationships and domain expertise while helping shape new ways of thinking and empowering decisions with data.

The ideal candidate will demonstrate a strong passion for producing new, creative and leading-edge solutions through all aspects of the data science product lifecycle, including productionalization of developed solutions.

Responsibilities

Projects Development

• Translate complex analytical results into actionable business initiatives
• Develop a deep understanding of the business, its data, and its patterns
• Extract data from multiple sources to uncover opportunities or detect issues
• Research, develop and deploy data models and systems to various stakeholders under multiple projects to clearly communicate, elucidating patterns and generating actionable insights and tools
• Partner with strategic business stakeholders to provide evidence-based guidance
• Contribute to data mining architecture, modeling standards and data analysis methodologies
• Develop and continuously improve processes, tools, and techniques

Ownership and Accountability

• Be accountable for experiment & study synthesizing (removing biases to influence key business decisions).
• Contribute to cross-teams initiatives to drive change within the organization.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Econometrics, Engineering, Computer Science, or a related field 
• Master’s degree or PhD, an asset 
• A minimum of 3 years experience in analytics and data science with a focus on driving business impact
• Experience with advanced statistical modeling techniques and machine learning.
• Strong understanding of hypothesis testing and causal inference.
• Excellent programming skills using Python, SQL
• Experience working with GitHub
• Experience with data manipulation technologies and knowledge of programming languages
• Extensive experience solving analytical problems using quantitative approaches
• E-commerce experience, an asset
• Understanding of web analytics, an asset

Skills

• Highly analytical and detail oriented
• Capacity to synthesize, simplify and present complex information to technical and business stakeholders at various levels of the organization
• Ability to design and present complex data sets in a variety of visually compelling formats
• Ability to thrive in a fast-paced, performance-driven environment
• Ability to grasp interrelation, dependencies and assess quickly impact in complex systems
• Team player with solid interpersonal skills
• Stay abreast of emerging tools and technologies